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Spatial adaptive filtering for LPI signal detection

机译:LPI信号检测的空间自适应滤波

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摘要

Summary form only given, as follows. This paper presents two algorithms for jointly detecting and direction finding (DF) low probability of intercept (LPI) signals based upon spatial adaptive filtering concepts: adaptive event processing (AEP) for narrowband short duration (SD) signals and spatial spectral whitening (SSW) for wideband direct sequence spread spectrum (DSSS) signals. AEP jointly exploits spatial and temporal differences between consecutive observation intervals to null narrowband interference, evaluate an energy-based detection statistic, and upon detection compute a DF estimate of a newly turned-on signal. SSW exploits both spatial and spectral differences between the DSSS signal-of-interest (SOI), which has a constant direction of arrival (DOA) over a wide spectral extent, and strong spectrally localized interference to simultaneously form a decision statistic and a DF estimate. Aspects of both algorithms are discussed, and data obtained from a four element wideband array operating in the HF band is used to illustrate performance.
机译:摘要只给出,如下所述。本文介绍了两个算法,用于基于空间自适应滤波概念的共同检测和方向查找(DF)截取(DF)信号的概率:用于窄带短持续时间(SD)信号的自适应事件处理(AEP)和空间光谱美白(SSW)对于宽带直接序列扩频(DSSS)信号。 AEP共同利用连续观察间隔之间的空间和时间差,以NULL窄带干扰,评估基于能量的检测统计,并且在检测时计算新导通的信号的DF估计。 SSW利用DSSS兴趣信令(SOI)之间的空间和光谱差异,其在宽的频谱范围内具有恒定的到达方向(DOA),以及强烈的频谱局限性干扰,同时形成决策统计和DF估计。讨论了这两种算法的各个方面,并且从HF频带中操作的四个元素宽带阵列获得的数据用于说明性能。

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